Modeling naturalistic argumentation in research literatures: Representation and interaction design issues.
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| Title: | Modeling naturalistic argumentation in research literatures: Representation and interaction design issues. |
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| Authors: | Buckingham Shum, Simon J.1 sbs@acm.org, Uren, Victoria1 v.s.uren@open.ac.uk, Li, Gangmin1 g.li@ecs.soton.ac.uk, Sereno, Bertrand1 bertrand.sereno@gmail.com, Mancini, Clara1 c.mancini@open.ac.uk |
| Source: | International Journal of Intelligent Systems. Jan2007, Vol. 22 Issue 1, p17-47. 31p. 11 Black and White Photographs, 4 Diagrams, 2 Charts. |
| Subjects: | Digital library use studies, Inquiry-based learning, Computational intelligence, Literary research, Oratory, Information modeling, Ontology, Semantic Web |
| Abstract: | This article characterizes key weaknesses in the ability of current digital libraries to support scholarly inquiry, and as a way to address these, proposes computational services grounded in semiformal models of the naturalistic argumentation commonly found in research literatures. It is argued that a design priority is to balance formal expressiveness with usability, making it critical to coevolve the modeling scheme with appropriate user interfaces for argument construction and analysis. We specify the requirements for an argument modeling scheme for use by untrained researchers and describe the resulting ontology, contrasting it with other domain modeling and semantic web approaches, before discussing passive and intelligent user interfaces designed to support analysts in the construction, navigation, and analysis of scholarly argument structures in a Web-based environment. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 17–47, 2007. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 23289266 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling naturalistic argumentation in research literatures: Representation and interaction design issues. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Buckingham+Shum%2C+Simon+J%2E%22">Buckingham Shum, Simon J.</searchLink><relatesTo>1</relatesTo><i> sbs@acm.org</i><br /><searchLink fieldCode="AR" term="%22Uren%2C+Victoria%22">Uren, Victoria</searchLink><relatesTo>1</relatesTo><i> v.s.uren@open.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Gangmin%22">Li, Gangmin</searchLink><relatesTo>1</relatesTo><i> g.li@ecs.soton.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Sereno%2C+Bertrand%22">Sereno, Bertrand</searchLink><relatesTo>1</relatesTo><i> bertrand.sereno@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mancini%2C+Clara%22">Mancini, Clara</searchLink><relatesTo>1</relatesTo><i> c.mancini@open.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Systems%22">International Journal of Intelligent Systems</searchLink>. Jan2007, Vol. 22 Issue 1, p17-47. 31p. 11 Black and White Photographs, 4 Diagrams, 2 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+library+use+studies%22">Digital library use studies</searchLink><br /><searchLink fieldCode="DE" term="%22Inquiry-based+learning%22">Inquiry-based learning</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+intelligence%22">Computational intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Literary+research%22">Literary research</searchLink><br /><searchLink fieldCode="DE" term="%22Oratory%22">Oratory</searchLink><br /><searchLink fieldCode="DE" term="%22Information+modeling%22">Information modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Ontology%22">Ontology</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+Web%22">Semantic Web</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article characterizes key weaknesses in the ability of current digital libraries to support scholarly inquiry, and as a way to address these, proposes computational services grounded in semiformal models of the naturalistic argumentation commonly found in research literatures. It is argued that a design priority is to balance formal expressiveness with usability, making it critical to coevolve the modeling scheme with appropriate user interfaces for argument construction and analysis. We specify the requirements for an argument modeling scheme for use by untrained researchers and describe the resulting ontology, contrasting it with other domain modeling and semantic web approaches, before discussing passive and intelligent user interfaces designed to support analysts in the construction, navigation, and analysis of scholarly argument structures in a Web-based environment. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 17–47, 2007. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/int.20188 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 17 Subjects: – SubjectFull: Digital library use studies Type: general – SubjectFull: Inquiry-based learning Type: general – SubjectFull: Computational intelligence Type: general – SubjectFull: Literary research Type: general – SubjectFull: Oratory Type: general – SubjectFull: Information modeling Type: general – SubjectFull: Ontology Type: general – SubjectFull: Semantic Web Type: general Titles: – TitleFull: Modeling naturalistic argumentation in research literatures: Representation and interaction design issues. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Buckingham Shum, Simon J. – PersonEntity: Name: NameFull: Uren, Victoria – PersonEntity: Name: NameFull: Li, Gangmin – PersonEntity: Name: NameFull: Sereno, Bertrand – PersonEntity: Name: NameFull: Mancini, Clara IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 08848173 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Intelligent Systems Type: main |
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